Past exam of the mathematics course of the University of Cambridge 2016 iii Paper 111 4 iv Solution Created 2026-10-03 Updated 2026-10-06
Within each fixed unitary irreducible representation, choose the selected right singular vectors to be orthonormal. Their corresponding left singular vectors are also orthonormal, even when a singular value is repeated: choose an orthonormal basis in each eigenspace of and put . Therefore, when ,This is (iv), with the unnormalized Hilbert-Schmidt inner product and the Kronecker delta. No orthogonality of differently shaped matrices is being asserted.
For the unheaded continuation, partition into blocks . ThenThe Schur averaging of rectangular matrices formula isfor any matrix . The average is an intertwiner; the Schur lemma makes it zero for inequivalent irreducible representations, and a scalar multiple of the identity for the same representative. The trace determines that scalar in the latter case.
Apply this with . The Hilbert-Schmidt inner product normalization just proved givesExpanding the squared Euclidean norm now yieldsThus the final identity follows from averaging, although itself need not be the identity. The whole construction is the spectral inverse theorem for the matrix-valued U2 quantity.